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基于经验模态分解和小波阈值的冲击信号去噪
引用本文:苏秀红,李皓.基于经验模态分解和小波阈值的冲击信号去噪[J].计算机测量与控制,2017,25(1):204-208, 220.
作者姓名:苏秀红  李皓
作者单位:中国工程物理研究院总体工程研究所,四川 绵阳 621900,中国工程物理研究院总体工程研究所,四川 绵阳 621900
摘    要:冲击信号是非线性的并且容易受到噪声污染;为研究冲击信号去噪的问题,针对经验模态分解(Empirical Mode Decomposition,EMD)去噪和小波阈值去噪方法存在的不足,提出了基于EMD的小波阈值去噪方法;单纯的EMD去噪方法会在去除高频噪声的同时压制高频的有效信息;EMD与小波阈值去噪相结合,利用连续均方误差准则确定含噪较多的高频固有模态函数(Intrinsic Mode Function, IMF),对高频IMF分量进行小波阈值去噪,以分离并保留这些分量中的有效信息,同时保持低频IMF分量不变;对模拟数据和实际冲击信号进行去噪处理,结果表明,基于EMD的小波阈值去噪方法的去噪效果优于单纯的EMD去噪方法和小波阈值去噪方法。

关 键 词:小波阈值  经验模态分解  冲击信号  去噪
收稿时间:2016/8/3 0:00:00
修稿时间:2016/9/13 0:00:00

Denoising of Shock Signal Based on EMD and Wavelet Threshold
Su Xiuhong and Li Hao.Denoising of Shock Signal Based on EMD and Wavelet Threshold[J].Computer Measurement & Control,2017,25(1):204-208, 220.
Authors:Su Xiuhong and Li Hao
Affiliation:Institute of System Engineering, CAEP, Mianyang 621900, China and Institute of System Engineering, CAEP, Mianyang 621900, China
Abstract:Shock signal is easily interfered by noise. As Empirical Mode Decomposition(EMD) denoising method and wavelet threshold denoising method both have their disadvantages, a new denoising method is proposed when they are combined. When removing high-frequency noise, EMD denoising method also suppresses effective high-frequency information. In the proposed denoising method, continuous square error rule is used to define IMF components with higher frequency, and the wavelet threshold method is applied in those components. Meanwhile the other IMF components retains the same. Firstly the performance of proposed denoising method is validated by simulation, then the proposed method is applied in shock signal. The results show that the denoising effect of the proposed method is better than both single methods.
Keywords:wavelet threshold  EMD  denoising  shock signal
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